AI GOVERNANCE MANAGER

AI Governance Manager

Summary

Responsibilities

• Spearhead the end-to-end implementation of AI governance frameworks, ensuring alignment with organizational policies and external regulatory standards.
  
• Oversee the monitoring and assurance of AI models, utilizing specialized tools to track performance, bias, and adherence to ethical guidelines throughout the model lifecycle.
  
• Champion the principles of responsible AI by establishing protocols for transparency, fairness, and explainability in all automated decision-making processes.
  
• Manage Master Data Management (MDM) strategies to guarantee the accuracy, consistency, and reliability of data feeding into AI systems.
  
• Maintain comprehensive metadata repositories, data catalogs, and lineage tracking to ensure full visibility into data sources and transformations.
  
• Direct enterprise-wide data governance efforts, fostering collaboration between technical teams and business stakeholders to uphold data quality and security.
  
• Leverage a strong background in data engineering to design scalable governance architectures that support complex AI workloads.
  

Requirements

• Minimum of 10 years of professional experience within the IT Services sector.
  
• Proven expertise in Enterprise Data Governance, with a track record spanning 7 to 10 years.
  
• Demonstrated hands-on experience (3–4 years) in implementing AI governance solutions.
  
• Deep proficiency in Master Data Management (MDM) principles and practices.
  
• Strong command of AI assurance methodologies, including model monitoring and governance tooling.
  
• Extensive knowledge of metadata management, data cataloging, and data lineage tracking.
  
• Solid foundation in Data Engineering to support technical governance requirements.
  
• Ability to articulate and enforce standards for AI transparency, fairness, and explainability.
  

Compensation

• Competitive salary package of ₹18 LPA.